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Better AI economics
Reduce unnecessary prompting, repeated retrieval, redundant model calls, excess turns, and manual rework to improve the value of every model interaction.
Why Tera
Enterprise AI that understands the business and gets work done
speed
Faster time to value
Start with reusable enterprise knowledge, guided execution, and proven skills instead of rebuilding context and workflows for every use case.
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More trusted outcomes
Ground analysis and execution in governed definitions, industry knowledge, lineage, policies, and role specific skills, so teams can understand, explain, and act on AI outcomes.
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AI where data work happens
Tera brings AI into the environments where teams already access and manage data, reducing tool switching, data movement, and operational friction.
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More people empowered
Natural-language access and guided workflows help analysts, data scientists, engineers, and administrators complete sophisticated work without deep specialization in every underlying technology.
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Freedom of choice
Open connectivity, model choice, and hybrid deployment give organizations the flexibility to work across tools, models, clouds, on-premises, and sovereign environments without vendor lock-in.
Features
What Tera can do
Analyze data, build AI solutions, manage platforms, and automate complex work from a single governed AI workspace.
Explore
Discover relevant data, relationships, and trusted business context.
Analyze
Uncover insights, create visualizations, and answer business questions.
Build
Create AI models, agents, applications, code, and data products.
Optimize
Monitor workloads, tune queries, investigate incidents, and improve platform operations.
How it works
Business context. Intelligent execution. Purpose-built expertise.
Tera brings together three capabilities to move enterprise data work from intent to outcome.
- Tera Context Engine provides the business understanding AI needs.
- Tera Harness intelligently coordinates execution.
- Tera Agent Skills applies task-specific expertise.
Measured performance
Designed to get more value from every model interaction
In published benchmark testing, Tera completed enterprise data work with fewer tokens, lower cost, faster completion, and benchmark-leading accuracy.
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73%
fewer tokens than Claude Code on SWE-bench Pro
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42%
faster completion than Claude Code on SWE-bench Pro
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58%
lower total cost than Claude Code on SWE-bench Pro
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53%
lower cost per reliably solved task than Snowflake Cortex Code on data-eng-bench
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Highest
Pass3 score on data-eng-bench and tied for the top score on ADE-bench
Frequently asked questions
Tera FAQs
What is Tera?
What is Tera?
Tera is Teradata’s agentic coworker for enterprise data work. It combines governed business context, specialized expertise, intelligent execution, native Teradata capabilities, and governed tool access to complete work across the enterprise data lifecycle.
What problem does Tera solve?
What problem does Tera solve?
Enterprise data work often requires specialist knowledge, coordination across tools, repeated context discovery, and significant operational effort. Tera brings these capabilities together so users can move from intent to governed outcomes with less manual assembly.
Who is Tera designed for?
Who is Tera designed for?
Tera supports analysts, business users, data engineers, data scientists, ML engineers, AI engineers, DBAs, and platform administrators. Each role can access relevant Teradata capabilities without needing expertise across every function, tool, or system.
How is Tera different from a chatbot or copilot?
How is Tera different from a chatbot or copilot?
Chatbots answer questions and copilots assist with tasks. Tera can maintain context, apply specialized expertise, coordinate multistep work, use governed tools, preserve progress, and carry work through to a completed outcome.
What are the core components of Tera?
What are the core components of Tera?
Tera brings together:
- Tera Context Engine
- Tera Harness
- Tera Skills
- Tera Agents (Platform Agents and Analytic Agents)
- In-database AI
- Enterprise MCP and approved tools
Where can users access Tera?
Where can users access Tera?
Tera is designed to appear across Teradata experiences, including Console, AI Studio, workspaces, notebooks, and supported editors. Exact availability depends on product entitlement, environment, and release status.
What can users do with Tera?
What can users do with Tera?
Users can explore data and business context, analyze information, create visualizations, generate SQL and Python, build analytical solutions, and optimize Teradata platform operations.
Related resources
Experience Tera firsthand
Request early access to see how Tera can help you complete complex data and AI work faster, more accurately, and with better economics.